Summary
- Business Problem: AJ Operations would like to predict total hours to
complete a trailer on a shift by shift basis
- Goal: Generate work content (Actual Hours) through predictive
modeling leveraging 1yr of historical LM data.
- Independent variables that were considered in the models were: Std
Time, Onstd Time, Cube, Cartons, Pallet, Lines, Cube per Hour, Cartons
per hour, Pallet per hour and lines per hour.
- Receiving Operations can apply these models for estimating trailer
completion times for offshore and domestic SKUs on a shift by shift
basis by leveraging: cube, lines, pallets and cartons as lagging
indicators for inputs into the model to determine staffing
requirements
Exploratory Time Series
Analysis